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AI Training · Flexible project
Competitive Data Scientist (Kaggle)
Skills include ML Engineering, Data Science, Mathematics. 50 openings shown by micro1.
PLATFORMmicro1
LOCATIONRemote · eligibility varies
PAY$60–$120/hr
SCHEDULEProject based
LAST CHECKED4 Nov 2026
THE OPPORTUNITY
Put your skills to work.
Skills include ML Engineering, Data Science, Mathematics. 50 openings shown by micro1.
- Role type
- expert
- Openings
- 50
- Skills
- ML Engineering, Data Science, Mathematics
Role Title: Competitive Data Scientist
Pay: $60–$120/hour
Location: Global, fully remote
Job Type: Contractor (~15 hours per week)
Schedule: Flexible-you choose the hours and days you work, including weekends if desired
We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve Data Science experience. (Kaggle, DrivenData, etc.)
You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.
What You’ll Do
- Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
- Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
- Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
- Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
- Document task requirements, solution reasoning, and verification steps clearly.
What We’re Looking For
Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.
- Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
- Strong problem-solving ability and a clear understanding of the methods you use.
- Practical programming ability sufficient to implement and verify your own solutions.
Huge Pluses
- Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code
Role details are copied from the micro1 listing and can change. Check the platform before you apply.
Relevant skills
ML EngineeringData ScienceMathematics
A few things to check
- Location and experience requirements.
- Schedule, compensation, and assessment process.
- Current availability on micro1.
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